Smartphone Battery Charging Technology for Accelerated Charging and Extended Battery Life

This invention uses an advanced battery model combined with dynamic charging protocols that adjust rates and monitor battery state to reduce charging time, control heat, and prevent lithium plating, thereby enhancing battery life and performance in smartphones.

Background

The field of battery charging technology, particularly for portable electronics, has witnessed significant interest as devices demand faster recharging without compromising longevity or safety. Rapid charging remains a critical requirement for modern consumer electronics, yet it also poses challenges in maintaining optimal battery performance over repeated cycles. There is a pressing need for innovations that manage the delicate balance between speed and durability, ensuring that batteries can be quickly recharged while preserving their long-term efficiency and mitigating safety risks such as overheating.

Current charging approaches, while capable of reducing charging times, often encounter critical issues that can lead to accelerated degradation of battery components. Common challenges include uncontrolled heat generation, which compromises the structural integrity of the battery, and the onset of lithium plating that diminishes the battery’s capacity and lifecycle. Traditional charging protocols may fail to adequately adjust to the battery’s evolving characteristics during charge cycles, resulting in suboptimal performance and potential safety hazards. These shortcomings highlight the limitations of existing methods and underscore the need for more robust frameworks that can adaptively manage charge dynamics while mitigating detrimental chemical and thermal effects.

Technology

This technology integrates a reduced-order electrochemical-thermal-life model designed to capture critical battery degradation mechanisms such as side reactions and lithium plating. It implements two optimized charging protocols that dynamically adjust the charging C-rate based on battery aging, employing voltage-based nonlinear model predictive control and real-time state-of-charge estimation via a Sigma Point Kalman Filter. Both protocols operate under strict voltage, current, and thermal constraints and utilize a lookup table approach for practical deployment, resulting in significantly faster charging times, improved capacity retention, and reduced heat generation.

What differentiates this technology is its dual-strategy approach that combines advanced modeling with real-time adaptive control to mitigate degradation and enhance overall battery performance. Unlike traditional methods, it adjusts charging parameters dynamically throughout the battery’s life, significantly reducing charging durations by 24–26% while minimizing thermal risks and lithium plating. This unique blend of experimental validation, robust control algorithms, and constraint-based optimization provides a competitive edge in maintaining battery longevity without compromising on charging speed.

Benefits

  • Reduced charging times by approximately 24–26%, enabling faster charging.
  • Improved capacity retention, thereby extending battery longevity.
  • Significant reduction in heat generation, enhancing thermal management.
  • Mitigation of lithium plating, reducing critical battery degradation mechanisms.
  • Adaptive charging control through real-time SOC estimation and dynamic C-rate adjustment.
  • Practical implementation via a lookup table approach, suitable for integration into existing battery management systems.

Applications

  • Optimized smartphone battery charging
  • Enhanced battery management systems
  • Real-time state estimation control
  • Reduced charging degradation optimization
  • Improved thermal management charging

Additional info

A reduced-order electrochemical-thermal-life model (P2D-SPM) captures degradation mechanisms such as side reactions and lithium plating. Two optimized charging protocols are described: one employs voltage-based nonlinear model predictive control to dynamically adjust C-rates while enforcing voltage, current, and thermal limits; the other uses a Sigma Point Kalman Filter for real-time state-of-charge estimation and current optimization. Both techniques integrate lookup tables for practical control, achieving approximately 24–26% faster charging and improved capacity retention with reduced heat and plating.